Algorithm and ZPP (complexity)

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Algorithm and ZPP (complexity)

Algorithm vs. ZPP (complexity)

In mathematics and computer science, an algorithm is an unambiguous specification of how to solve a class of problems. In complexity theory, ZPP (zero-error probabilistic polynomial time) is the complexity class of problems for which a probabilistic Turing machine exists with these properties.

Similarities between Algorithm and ZPP (complexity)

Algorithm and ZPP (complexity) have 6 things in common (in Unionpedia): Computational complexity theory, Las Vegas algorithm, P (complexity), Quantum computing, RP (complexity), Time complexity.

Computational complexity theory

Computational complexity theory is a branch of the theory of computation in theoretical computer science that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.

Algorithm and Computational complexity theory · Computational complexity theory and ZPP (complexity) · See more »

Las Vegas algorithm

In computing, a Las Vegas algorithm is a randomized algorithm that always gives correct results; that is, it always produces the correct result or it informs about the failure.

Algorithm and Las Vegas algorithm · Las Vegas algorithm and ZPP (complexity) · See more »

P (complexity)

In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class.

Algorithm and P (complexity) · P (complexity) and ZPP (complexity) · See more »

Quantum computing

Quantum computing is computing using quantum-mechanical phenomena, such as superposition and entanglement.

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RP (complexity)

In computational complexity theory, randomized polynomial time (RP) is the complexity class of problems for which a probabilistic Turing machine exists with these properties.

Algorithm and RP (complexity) · RP (complexity) and ZPP (complexity) · See more »

Time complexity

In computer science, the time complexity is the computational complexity that describes the amount of time it takes to run an algorithm.

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The list above answers the following questions

What Algorithm and ZPP (complexity) have in common
What are the similarities between Algorithm and ZPP (complexity)

Algorithm and ZPP (complexity) Comparison

Algorithm has 288 relations, while ZPP (complexity) has 15. As they have in common 6, the Jaccard index is 1.98% = 6 / (288 + 15).

References

This article shows the relationship between Algorithm and ZPP (complexity). To access each article from which the information was extracted, please visit:

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